Thanh-Son Pham (thanhson.pham@anu.edu.au)
This repository contains source files to reproduce data analysis and figures published in the GJI artcile.
To run the entire package, TensorFlow, TensorFlow-Probability, obspy need to be installed in your environment.
Content of this package:
- CPS.py: library file for function to generate Green's function with CPS program (Herrmann, 2023).
- UTIL.py: utinily file for plotting and other supporting function.
- MT.py: implementation of joint moment tensor inversion using TensorFlow functionalities.
- LongValley: Directory containing analysis for the case study of earthquakes in Long Valley Caldera regions
- SoCal.plain.txt: 1D velocity model for Southern California.
- Pham_GJI2024.ipynb: Jupyter notebook to produce paper figures.
- MainMTI.py: Wrapping script to reproduce the entire data analysis.
- run_main_cpu.pbs: Main bash script to re-run all experiments.
- OUTPUT: experiment output. Note: it's costly to re-run all the experiment. Please consider to use a computer cluster.
Canberra, May 2024.